System design requirements are well understood for high-performance artificial intelligence applications destined to reside in enterprise or cloud data centers. Data centers are specifically designed to provide a clean, cool environment with stable and standard power with no need to worry about vibration or shock loads.
Putting the most sophisticated AI computing capability in the field in military and industrial applications is a whole different story. Today, desire for placing this capability outside the data center directly at the edge is growing. Being able to fully exploit AI benefits in real time near the data and action is highly valuable. Many of these applications must reside in mobile platforms that not only carry out their mission but must also operate in an autonomous or semi-autonomous way. These applications are driving demand for data center class AI performance in systems that now must operate in environments that are far more challenging.
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According to the American Trucking Associations (ATA), at current trends the driver shortage could surpass 160,000 by 2030. ATA estimates that, in the next decade, the industry will have to recruit nearly a million new drivers into the industry to replace drivers exiting the field due to retirements, driver burn-out, compensation and poor benefits. These are the challenges facing transportation executives in securing a robust driver pool.
However, the challenge of driver shortages does not end with the trucking industry. Rather, the scarcity of drivers directly affects the larger manufacturing sector.
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